LLM judges

LLM judges evaluate agentic stock predictors, improving accuracy via reinforcement learning

Researchers have developed a novel framework for evaluating agentic stock prediction systems by utilizing large language models as judges. This system breaks down performance into six specific dimensions, including regi…